RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences-Reference-Cited by-同舟云学术

RVMAB: Using the Relevance Vector Machine Model Combined with Average Blocks to Predict the Interactions of Proteins from Protein Sequences

Published:2016-05-18 Issue:5 Volume:17 Page:757
ISSN:1422-0067
Container-title:International Journal of Molecular Sciences
language:en
Short-container-title:IJMS

Author:

An Ji-Yong,You Zhu-Hong,Meng Fan-Rong,Xu Shu-Juan,Wang Yin

Funder

National Natural Science of Foundation of China

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

Link

http://www.mdpi.com/1422-0067/17/5/757/pdf

Reference26 articles.

1. Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry

2. Global Analysis of Protein Activities Using Proteome Chips

3. Functional organization of the yeast proteome by systematic analysis of protein complexes

4. A comprehensive two-hybrid analysis to explore the yeast protein interactome

5. Predicting protein-protein interactions using signature products

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